In this paper, we present the paradigm of Language-Driven Engineering (LDE), which is
characterized by its unique support for division of labour on the basis of Domain-Specific …

Topological Spatial Model Checking is a recent paradigm where model checking techniques
are developed for the topological interpretation of Modal Logic. The Spatial Logic of Closure …

We present a novel method for the safety verification of nonlinear dynamical models that
uses neural networks to represent abstractions of their dynamics. Neural networks have …

This paper presents a retrospective view on probabilistic model checking. We focus on
Markov decision processes (MDPs, for short). We survey the basic ingredients of MDP …

This article lays the mathematical foundations of PyCATSHOO, a Model-Based Safety
Analysis (MBSA) framework relying on distributed stochastic hybrid automata. This tool was …

The notion of bisimilarity plays an important role in concurrency theory. It provides formal
support to the idea of processes having “equivalent behaviour” and is a powerful tool for …

We propose algorithms for performing model checking and control synthesis for discrete-
time uncertain systems under linear temporal logic (LTL) specifications. We construct …

We propose a framework for monitoring and updating, at run-time, the probabilities of
temporal properties of stochastic timed automata. Our method is based on Bayesian …

We present a collection of advances in the algorithmic verification of hybrid automata with
piecewise linear derivatives, so-called Linear Hybrid Automata. New ways to represent and …

Deep brain stimulation (DBS) is a widely accepted treatment for the Parkinson's disease
(PD). Traditionally, it is done in an open-loop manner, where stimulation is always ON …